Hey thanks for helping me because i really need better understanding.

Part 1:

You want to estimate the true mean height of students at NGHS. You take a random sample of 200 students and find a sample mean of 66 inches with a standard deviation of 2.3 inches. Construct and interpret a 96% confidence interval for the true mean height of students at NGHS. (Note: This requires a full SPDC model.)

State:

Plan:

Do:

Conclude:

Part 2:

You are told that a 98% confidence interval for the true proportion of US adults under 35 years of age who own a home is (0.3484, 0.4327).

1. What is the point estimate of this confidence interval?

1. What is the margin of error?

1. A local newspaper asserts that 46% of US adults under age 35 own a home. Is this a plausible value for the true proportion?

1. Suppose the sample size was 350. What would happen to the confidence interval if the sample size increased to 500? Explain.

1. What would happen to the confidence interval if the confidence level went from 98% to 94%? Explain.